Need Database Design idea

I am indulged in developing Online Issue Tracking sytem.For that I have met with a problem in Database creation.

The Sceneario is "The Database should be specific for each and every group of customers,For example initially A is a company with 10 users accessing the product after two days B is a company with 50 user accessing the same product".In this case the datase base should be provided to the two companies separately to maintain their transaction. How to handle this.

You can design the table with column name "Company name"
based on the company name... you can filter the datas. Just create the same database schema
and pass this to all companies. don't go for different schema for each company based on the company name

Determine the purpose of your database This helps prepare you for the remaining steps.

Find and organize the information required Gather all of the types of information you might want to record in the database, such as product name and order number.

Divide the information into tables Divide your information items into major entities or subjects, such as Products or Orders. Each subject then becomes a table.

Turn information items into columns Decide what information you want to store in each table. Each item becomes a field, and is displayed as a column in the table. For example, an Employees table might include fields such as Last Name and Hire Date.

Specify primary keys Choose each table’s primary key. The primary key is a column that is used to uniquely identify each row. An example might be Product ID or Order ID.

Set up the table relationships Look at each table and decide how the data in one table is related to the data in other tables. Add fields to tables or create new tables to clarify the relationships, as necessary.

Refine your design Analyze your design for errors. Create the tables and add a few records of sample data. See if you can get the results you want from your tables. Make adjustments to the design, as needed.

Apply the normalization rules Apply the data normalization rules to see if your tables are structured correctly. Make adjustments to the tables, as needed.